{"id":"W2053224894","doi":"10.1111/j.1475-2743.2005.tb00108.x","title":"Potentially mineralizable nitrogen from organic materials applied to a sandy soil: fitting the one‐pool exponential model","year":2005,"lang":"en","type":"article","venue":"Soil Use and Management","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Manure; Environmental science; Paper mill; Nitrogen; Nutrient; Mineralization (soil science); Pulp and paper industry; Slurry; Organic matter; Agronomy; Compost; Waste management; Chemistry; Soil water; Environmental engineering; Soil science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001088301,0.0009396188,0.000664606,0.0005175038,0.0002515489,0.0006268698,0.001052695,0.001677623,0.001346268],"category_scores_gemma":[0.002994006,0.0004292254,0.00135009,0.0005792914,0.0003858736,0.0007950148,0.0004314361,0.0007547285,0.0005138088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000962251,"about_ca_system_score_gemma":0.0007178755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02055481,"about_ca_topic_score_gemma":0.00841264,"domain_scores_codex":[0.9997905,0.0000533605,0.00001459066,0.00005701231,0.00003682663,0.00004777096],"domain_scores_gemma":[0.9988056,0.0008745095,0.0001008293,0.00004213624,0.0001438697,0.00003298275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001987509,0.0001183552,0.004968307,0.0002759804,0.00007599854,0.000208964,0.00008547068,0.979705,0.007879191,0.001167573,0.0003095391,0.00500695],"study_design_scores_gemma":[0.000009743401,0.00003311475,0.0005587777,0.000004430836,0.000008112729,0.00001475488,0.00001599606,0.998109,0.0008738883,0.0002464458,0.0001185352,0.000007161773],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9061711,0.0005997606,0.08772357,0.0002703459,0.00004139276,0.0001672252,0.0006969431,0.0003468239,0.003982926],"genre_scores_gemma":[0.9881752,0.0003669188,0.00723555,0.00005653345,0.000009103819,0.0001522523,0.00038205,0.00005997907,0.003562533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02055481,"threshold_uncertainty_score":0.04087031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192753840193211,"score_gpt":0.1955707257015608,"score_spread":0.1762953416822397,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}